課程名稱 |
生態模式與漁業資源保育 Ecological Modeling for Conservation of Fisheries Resources |
開課學期 |
105-1 |
授課對象 |
理學院 海洋生物及漁業組 |
授課教師 |
張以杰 |
課號 |
Ocean7176 |
課程識別碼 |
241EM3840 |
班次 |
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學分 |
3 |
全/半年 |
半年 |
必/選修 |
選修 |
上課時間 |
星期五2,3,4(9:10~12:10) |
上課地點 |
海研115 |
備註 |
本課程以英語授課。 總人數上限:25人 |
Ceiba 課程網頁 |
http://ceiba.ntu.edu.tw/1051Ocean7176_qfish |
課程簡介影片 |
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核心能力關聯 |
核心能力與課程規劃關聯圖 |
課程大綱
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為確保您我的權利,請尊重智慧財產權及不得非法影印
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課程概述 |
舊的課名為"魚類族群動態與資源評估".
This course is an introduction of basic population dynamics and stock assessment, methods to be applied at different level of data, and a review of relevant computer programs. Course covers introduction, data used in stock assessment (catch, abundance, and life history), population dynamics models, determination of stock status, biological reference points, and future forecast.
Assessment models of per-recruit model, biomass dynamics model, lagged recruitment, survival and growth model, and age-structured production model will be included. Student will be familiar with terms in fish population dynamics (e.g.., fishing mortality, catchability, selectivity, steepness, etc.) and proficient in parameter estimation (e.g., growth, mortality, unfished biomass, MSY), as well as the uncertainty, of an exploited fish population, and evaluation of harvest restrictions for fisheries management problems.
The course draws examples from real fisheries in the world and provides student broad experiences of various fishery data and fish biology. The course is primarily for students of fisheries and marine ecology, but should also appeal to those interested in conservation ecology.
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課程目標 |
The main objective of the course was to become proficient with background and tools to conduct basic stock assessments for fisheries. Student will develop professional skills of data analysis, quantitative fish population modelling, and theory and implication of fish harvest management. Student will carry out fisheries data analysis, modelling, and interpretation on a regular basis throughout the course. The course expects student will develop their own model and application. Course will provide basic programming training by following the examples using Excel and R. |
課程要求 |
Basic knowledge of Statistics (e.g., LS3022-Biostatistics) or the equivalent is recommended. |
預期每週課後學習時數 |
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Office Hours |
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指定閱讀 |
Assigned paper during the course |
參考書目 |
Haddon, M. 2001. Modelling and Quantitative Methods in Fisheries. Chapman and Hall, London, 406 pp.
Hilborn, R., Walters, C.J., 1992. Quantitative Fisheries Stock Assessment: Choice, Dynamics and Uncertainty. Chapman and Hall, New York, 570 pp.
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評量方式 (僅供參考) |
No. |
項目 |
百分比 |
說明 |
1. |
Lab participation |
30% |
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2. |
Assignments |
70% |
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週次 |
日期 |
單元主題 |
第1週 |
9/23 |
Course overview, syllabus, the history of understanding the impact of fishing |
第2週 |
9/30 |
No class |
第3週 |
10/07 |
Exploited species in the world fisheries; Mandate for stock assessment; Fish (unexploited) and fished population (I)
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第4週 |
10/14 |
Fish (unexploited) and fished population (II); Overview of global tuna fishing
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第5週 |
10/21 |
Stock assessment-key principle and components |
第6週 |
10/28 |
Speech: Fisheries stock assessment and management under climate and environmental uncertainty |
第7週 |
11/4 |
Modelling Growth (I) |
第8週 |
2016/11/11 |
Modelling Growth (II) |
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